309 Reporting Specialist jobs in Bahrain

• Prepare and review journal entries, account reconciliations, and general ledger maintenance.
• Lead the month-end and year-end closing processes, ensuring all deadlines are met.
• Assist in the preparation of accurate and timely financial statements in accordance with IFRS/GAAP.
• Analyze financial data, identify trends, and provide insightful commentary to management.
• Support internal and external audits by preparing necessary documentation and providing explanations.
• Develop and implement accounting policies and procedures to enhance internal controls and operational efficiency.
• Assist with budgeting and forecasting activities.
• Stay updated on changes in accounting regulations and standards.
• Collaborate with cross-functional teams to ensure accurate financial data capture.
• Utilize accounting software and ERP systems to their full potential.

• Bachelor's degree in Accounting or Finance.
• Professional certification (e.g., CPA, ACCA) is highly preferred.
• Minimum of 5 years of progressive accounting experience.
• Demonstrated expertise in financial reporting and accounting principles (IFRS/GAAP).
• Proficiency in accounting software (e.g., QuickBooks, SAP, Oracle) and advanced Excel skills.
• Strong analytical, problem-solving, and organizational abilities.
• Excellent communication and interpersonal skills, essential for remote collaboration.
• Ability to manage multiple priorities and meet strict deadlines in a remote setting.
• Experience with financial analysis, budgeting, and forecasting.
• Proactive and self-motivated with a strong work ethic.

• Prepare and review monthly, quarterly, and annual financial statements in compliance with IFRS/GAAP.
• Manage the general ledger, ensuring accuracy and completeness of financial data.
• Perform account reconciliations and investigate any discrepancies.
• Assist with the preparation of regulatory filings and tax returns.
• Support internal and external audits by providing necessary documentation and explanations.
• Participate in month-end and year-end closing procedures.
• Analyze financial data and provide insights to support management decision-making.
• Develop and implement improvements to accounting processes and controls.
• Ensure compliance with all applicable laws, regulations, and accounting standards.
• Liaise with other departments to ensure accurate financial reporting across the organization.

• Bachelor's degree in Accounting or Finance.
• Certified Public Accountant (CPA) or equivalent professional qualification.
• Minimum of 5 years of progressive accounting experience.
• In-depth knowledge of IFRS/GAAP and financial reporting standards.
• Proficiency in accounting software (e.g., QuickBooks, SAP, Oracle) and MS Excel.
• Strong analytical, problem-solving, and critical thinking skills.
• Excellent organizational and time management abilities.
• High level of integrity and attention to detail.
• Strong communication and interpersonal skills.

VAM Systems is a Business Consulting, IT Solutions and Services company.

VAM Systems is currently looking for
Business Intelligence Engineer

for our Bahrain operations with the following skillsets & terms and conditions:

Qualifications:

·   Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field is required. A Master's degree is preferred.

Certifications:

·   Professional certifications in Microsoft Power BI or equivalent BI platforms are preferred.

Required experience

: Minimum of 5–8 years of hands-on experience in Business Intelligence and data analytics, preferably within the banking or financial services sector.

Technical Proficiency:

·   Advanced expertise in data visualization and statistical plotting using tools such as Power

·   BI, Python, and Matlab.

·   Strong command of SQL for querying, data modeling, and ETL development.

·   Solid understanding of data warehousing concepts and experience with platforms like SAS and Microsoft SQL Server.

·   Familiarity with cloud-based BI platforms (e.g., Azure, AWS) is a strong advantage.

·   Experience in Python and statistical programming, with exposure to AI/ML tools, algorithms, and methods.

Analytical & Modeling Skills:

·   Proven ability to work with large-scale datasets and deliver production-grade analytics solutions.

·   Skilled in data preparation, including rationalizing, classifying, deriving, and calculating model input variables.

·   Experience applying natural language processing (NLP) and computer vision techniques to unstructured data is a plus.

Competencies:

·   Banking Domain Expertise: Proven experience in the financial services industry, preferably banking, with a strong understanding of core banking functions such as Risk, Finance, Corporate/Retail Banking, Treasury, and the customer lifecycle.

·   Analytical & Problem-Solving Skills: Exceptional ability to analyze complex datasets, perform data profiling, and

·   derive actionable insights that support strategic decision-making.

·   Technical Proficiency: Strong command of SQL and relational databases, with the ability to design and optimize

·   queries for performance and scalability.

·   Communication & Presentation: Excellent verbal and written communication skills, with the ability to present

·   complex data findings clearly and persuasively to both technical and non-technical stakeholders.

·   Collaboration & Agility: Demonstrated success working in agile, cross-functional teams, with a proactive and

·   adaptable mindset in fast-paced environments.

Languages:

·   English

·   Arabic

Terms and conditions

Joining time frame: days)

The selected candidates shall join VAM Systems – Bahrain and shall be deputed to one of the leading
Banks
in Bahrain.

Should you be interested in this opportunity, please send your latest resume at the earliest

Technical Proficiency:

• Advanced expertise in data visualization and statistical plotting using tools such as Power BI, Python, and Matlab.
• Strong command of SQL for querying, data modeling, and ETL development.
• Solid understanding of data warehousing concepts and experience with platforms like SAS and Microsoft SQL Server.
• Familiarity with cloud-based BI platforms (e.g., Azure, AWS) is a strong advantage.
• Experience in Python and statistical programming, with exposure to AI/ML tools, algorithms, and methods.

Analytical & Modeling Skills:

• Proven ability to work with large-scale datasets and deliver production-grade analytics solutions.
• Skilled in data preparation, including rationalizing, classifying, deriving, and calculating model input variables.
• Experience applying natural language processing (NLP) and computer vision techniques to unstructured data is a plus.

Qualifications:

• Bachelor s degree in Computer Science, Information Systems, Data Science, or a related field is required. A Master s degree is preferred.

Certifications:

• Professional certifications in Microsoft Power BI or equivalent BI platforms are preferred.

Required experience: Minimum of 5 8 years of hands-on experience in Business Intelligence and data analytics, preferably within the banking or financial services sector.

Job Description

VAM Systems is currently looking for Business Intelligence Engineer for our Bahrain operations with the following skillsets & terms and conditions:

Qualifications:

• Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field is required. A Master's degree is preferred.

Certifications:

• Professional certifications in Microsoft Power BI or equivalent BI platforms are preferred.

Required experience: Minimum of 5–8 years of hands-on experience in Business Intelligence and data analytics, preferably within the banking or financial services sector.

Technical Proficiency:

• Advanced expertise in data visualization and statistical plotting using tools such as Power
• BI, Python, and Matlab.
• Strong command of SQL for querying, data modeling, and ETL development.
• Solid understanding of data warehousing concepts and experience with platforms like SAS and Microsoft SQL Server.
• Familiarity with cloud-based BI platforms (e.g., Azure, AWS) is a strong advantage.
• Experience in Python and statistical programming, with exposure to AI/ML tools, algorithms, and methods.

Analytical & Modeling Skills:

• Proven ability to work with large-scale datasets and deliver production-grade analytics solutions.
• Skilled in data preparation, including rationalizing, classifying, deriving, and calculating model input variables.
• Experience applying natural language processing (NLP) and computer vision techniques to unstructured data is a plus.

Competencies:

• Banking Domain Expertise: Proven experience in the financial services industry, preferably banking, with a strong understanding of core banking functions such as Risk, Finance, Corporate/Retail Banking, Treasury, and the customer lifecycle.
• Analytical & Problem-Solving Skills: Exceptional ability to analyze complex datasets, perform data profiling, and
• derive actionable insights that support strategic decision-making.
• Technical Proficiency: Strong command of SQL and relational databases, with the ability to design and optimize
• queries for performance and scalability.
• Communication & Presentation: Excellent verbal and written communication skills, with the ability to present
• complex data findings clearly and persuasively to both technical and non-technical stakeholders.
• Collaboration & Agility: Demonstrated success working in agile, cross-functional teams, with a proactive and
• adaptable mindset in fast-paced environments.

Terms and conditions

Joining time frame: days)

Job Description
VAM Systems is currently looking for
Business Intelligence Engineer
for our Bahrain operations with the following skillsets & terms and conditions:

Qualifications:

• Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field is required. A Master's degree is preferred.

Certifications:

• Professional certifications in Microsoft Power BI or equivalent BI platforms are preferred.

Required experience
: Minimum of 5–8 years of hands-on experience in Business Intelligence and data analytics, preferably within the banking or financial services sector.

Technical Proficiency:

• Advanced expertise in data visualization and statistical plotting using tools such as Power
• BI, Python, and Matlab.
• Strong command of SQL for querying, data modeling, and ETL development.
• Solid understanding of data warehousing concepts and experience with platforms like SAS and Microsoft SQL Server.
• Familiarity with cloud-based BI platforms (e.g., Azure, AWS) is a strong advantage.
• Experience in Python and statistical programming, with exposure to AI/ML tools, algorithms, and methods.

Analytical & Modeling Skills:

• Proven ability to work with large-scale datasets and deliver production-grade analytics solutions.
• Skilled in data preparation, including rationalizing, classifying, deriving, and calculating model input variables.
• Experience applying natural language processing (NLP) and computer vision techniques to unstructured data is a plus.

Competencies:

• Banking Domain Expertise: Proven experience in the financial services industry, preferably banking, with a strong understanding of core banking functions such as Risk, Finance, Corporate/Retail Banking, Treasury, and the customer lifecycle.
• Analytical & Problem-Solving Skills: Exceptional ability to analyze complex datasets, perform data profiling, and
• derive actionable insights that support strategic decision-making.
• Technical Proficiency: Strong command of SQL and relational databases, with the ability to design and optimize
• queries for performance and scalability.
• Communication & Presentation: Excellent verbal and written communication skills, with the ability to present
• complex data findings clearly and persuasively to both technical and non-technical stakeholders.
• Collaboration & Agility: Demonstrated success working in agile, cross-functional teams, with a proactive and
• adaptable mindset in fast-paced environments.

Terms and conditions

Joining time frame: days)

• Managing day to day operational tasks and coordination across staff.

• Preparing financial, forecasts, sales, and warehouse reports.

• Supporting business intelligence through dashboards, data analysis, and KPI tracking.

• Assisting direct manager by providing actionable insights

• Assist in collecting, cleaning, and organizing data from various sources.
• Perform data analysis to identify trends, patterns, and anomalies.
• Develop and maintain reports and dashboards using business intelligence tools (e.g., Power BI, Tableau).
• Support the creation of data visualizations to communicate findings effectively.
• Collaborate with team members on data-related projects and ad-hoc requests.
• Learn and apply statistical methods for data interpretation.
• Assist in documenting data sources, methodologies, and analytical processes.
• Gain exposure to database querying languages like SQL.
• Participate in team meetings, contributing to discussions and offering fresh perspectives.
• Receive mentorship from senior analysts to develop technical and analytical skills.

• Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Economics, Computer Science, Business Analytics, or a related field.
• Strong analytical and problem-solving abilities.
• Proficiency in data analysis and spreadsheet software (e.g., Excel).
• Basic understanding of data visualization principles and tools is a plus.
• Familiarity with SQL is advantageous.
• Good communication and interpersonal skills.
• Detail-oriented with a commitment to accuracy.
• Ability to work collaboratively in a team environment.
• Must be legally eligible to work in Bahrain and available for the internship duration.
• This is a hybrid role, requiring attendance at our offices in Hamad Town, Northern, BH for designated days, with the flexibility for remote work.